Researchers teach an AI to write better chart captions
A new dataset can help scientists develop automatic systems that generate richer, more descriptive captions for online charts.
A new dataset can help scientists develop automatic systems that generate richer, more descriptive captions for online charts.
Enjoy these recent titles from Institute faculty and staff.
MAGE merges the two key tasks of image generation and recognition, typically trained separately, into a single system.
The system analyzes the likelihood that an attacker could thwart a certain security scheme to steal secret information.
Ranking at the top for the 12th year in a row, the Institute also places first in 11 subject areas.
A collaboration between MIT and Miami-Dade County has students working with city planning officials to understand why people wait patiently for a bus — and why they bail.
Six teams conducting research in AI, data science, and machine learning receive funding for projects that have potential commercial applications.
Through her organization, Sprouting, Taylor Baum is empowering teachers to teach coding and computer science in their classrooms and communities.
Award recognizes scholars who have the “extraordinary creativity necessary to tackle problems others can’t solve.”
MIT researchers characterize gene expression patterns for 22,500 brain vascular cells across 428 donors, revealing insights for Alzheimer’s onset and potential treatments.
MIT students share ideas, aspirations, and vision for how advances in computing stand to transform society in a competition hosted by the Social and Ethical Responsibilities of Computing.
MIT-Novo Nordisk Artificial Intelligence Postdoctoral Fellows Program will support up to 10 postdocs annually over five years.
As the inaugural director, Luu envisions the center as a resource that will complement faculty advising and support the “whole student” during their entire undergraduate career.
The Priscilla King Gray Public Service Center's IDEAS program empowers teams partnering with communities to tackle a range of social challenges.
A new AI-based approach for controlling autonomous robots satisfies the often-conflicting goals of safety and stability.